Metagenomic Approaches for Insect Symbionts

Chellappan, Mani; Ranjith, M.

doi:10.1007/978-981-16-3595-3_6

Cited by 4 publications

(1 citation statement)

References 184 publications

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“…A growing body of research focuses on insect microbiomes in the quest for solutions within the bioremediation field [12]. For example, termites and beetles have raised interest due to their capacity to degrade lignin, an ability potentially dependent in some cases on microorganisms colonizing certain portions of their intestine [13][14][15][16][17]. Recently, some coleopteran and lepidopteran species revealed the astonishing capability to degrade fossil fuel-derived plastics, like the sturdy polyethylene and polystyrene [18][19][20][21], opening up a new niche within the field of bioremediation by insects.…”

Section: Introductionmentioning

confidence: 99%

The virtual microbiome: A computational framework to evaluate microbiome analyses

et al. 2023

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Microbiomes have been the focus of a substantial research effort in the last decades. The composition of microbial populations is normally determined by comparing DNA sequences sampled from those populations with the sequences stored in genomic databases. Therefore, the amount of information available in databanks should be expected to constrain the accuracy of microbiome analyses. Albeit normally ignored in microbiome studies, this constraint could severely compromise the reliability of microbiome data. To test this hypothesis, we generated virtual bacterial populations that exhibit the ecological structure of real-world microbiomes. Confronting the analyses of virtual microbiomes with their original composition revealed critical issues in the current approach to characterizing microbiomes, issues that were empirically confirmed by analyzing the microbiome of Galleria mellonella larvae. To reduce the uncertainty of microbiome data, the effort in the field must be channeled towards significantly increasing the amount of available genomic information and optimizing the use of this information.

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Section: Introductionmentioning

confidence: 99%

The virtual microbiome: A computational framework to evaluate microbiome analyses

et al. 2023

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The genus Sodalis as a resource for understanding the multifaceted evolution of bacterial symbiosis in insects

Renoz,

Arai,

Pons

2023

Symbiosis

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The virtualome: a computational framework to evaluate microbiome analyses

Serrano-Antón

Rodríguez-Ventura

Colomer-Vidal

et al. 2022

Preprint

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Microbiomes have been the focus of a substantial research effort in the last decades. The composition of microbial populations is normally determined by comparing DNA sequences sampled from those populations with the sequences stored in genomic databases. Therefore, the amount of information available in databanks should be expected to constrain the accuracy of microbiome analyses. Albeit normally ignored in microbiome studies, this constraint could severely compromise the reliability of microbiome data. To test this hypothesis, we generated virtualomes, virtual bacterial populations that exhibit the ecological structure of real-world microbiomes. Confronting the analyses of virtualomes with their original composition revealed critical issues in the current approach to characterizing microbiomes, issues that were empirically confirmed by analyzing the microbiome of Galleria mellonella larvae. To reduce the uncertainty of microbiome data, the effort in the field must be channeled towards significantly increasing the amount of available genomic information.

show abstract

Metagenomic Approaches for Insect Symbionts

Cited by 4 publications

References 184 publications

The virtual microbiome: A computational framework to evaluate microbiome analyses

The virtual microbiome: A computational framework to evaluate microbiome analyses

The genus Sodalis as a resource for understanding the multifaceted evolution of bacterial symbiosis in insects

The virtualome: a computational framework to evaluate microbiome analyses

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